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The highly conserved RNA-binding specificity of nucleocapsid protein facilitates the identification of drugs with broad anti-coronavirus activity
Shaorong Fan; Wenju Sun; Ligang Fan; Nan Wu; Wei Sun; Haiqian Ma; Siyuan Chen; Zitong Li; Yu Li; Jilin Zhang; Jian Yan.
Afiliação
  • Shaorong Fan; Northwest University
  • Wenju Sun; Northwest University
  • Ligang Fan; City University of Hong Kong
  • Nan Wu; Northwest University
  • Wei Sun; Northwest University
  • Haiqian Ma; Northwest University
  • Siyuan Chen; The Chinese University of Hong Kong
  • Zitong Li; The Chinese University of Hong Kong
  • Yu Li; The Chinese University of Hong Kong
  • Jilin Zhang; City University of Hong Kong
  • Jian Yan; City University of Hong Kong
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-501505
ABSTRACT
The binding of SARS-CoV-2 nucleocapsid (N) protein to both the 5'- and 3'-ends of genomic RNA has different implications arising from its binding to the central region during virion assembly. However, the mechanism underlying selective binding remains unknown. Herein, we performed the high-throughput RNA-SELEX (HTR-SELEX) to determine the RNA-binding specificity of the N proteins of various SARS-CoV-2 variants as well as other {beta}-coronaviruses and showed that N proteins could bind two unrelated sequences, both of which were highly conserved across all variants and species. Interestingly, both these sequence motifs are virtually absent from the human transcriptome; however, they exhibit a highly enriched, mutually complementary distribution in the coronavirus genome, highlighting their varied functions in genome packaging. Our results provide mechanistic insights into viral genome packaging, thereby increasing the feasibility of developing drugs with broad-spectrum anti-coronavirus activity by targeting RNA binding by N proteins.
Licença
cc_by_nc
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
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